Virtual Booth

This project addresses the critical issue of voltage instability in power systems under high load conditions which is a major concern in modern grids experiencing rising energy demands. Voltage collapse often begins at weak load buses, leading to widespread blackouts if not mitigated effectively. This study utilizes the Voltage Collapse Proximity Index (VCPI) as a quantitative tool to evaluate the voltage stability margin of each bus within the IEEE 30-Bus power system. The novelty of the project lies in the integration of photovoltaic (PV) generation at critical weak buses identified through VCPI analysis, thereby enhancing voltage stability and reactive power support. To facilitate intuitive analysis and broader usability, a user-friendly graphical user interface (GUI) application was developed using Python. This GUI features a visual layout of the IEEE 30-Bus system, allows real-time input of generation and load data, performs full Newton-Raphson load flow calculations, and displays VCPI values with severity indicators. It also supports data export for reporting and research. The tool significantly simplifies the process of identifying instability risks, making it valuable for grid engineers, researchers, and students. The results validate the effectiveness of PV integration in delaying voltage collapse and improving system reliability. Beyond academic value, the solution has commercialization potential as a lightweight planning and diagnostic software for utilities, particularly in developing smart grids and microgrid infrastructures. This project contributes to the broader goal of sustainable and resilient power system development through innovative, accessible engineering tools.